1 answer

When you have this chart setup to look at more than 30 days worth of data, this chart changes from using a linear scale for days into using a cube-root scale in regards to the vertical axis that measures days.

This example shows that when looking at this cube-root scale (which the chart does automatically for any time period above 30 days), the values are not as precise in regards to the location of the line. I believe this is due to the scale itself and the magnitude of the data being displayed here. In that example, the average is 4w 1d 10h average (which I believe translates to either 21 or 29 days). So you can see that this average is between the vertical scale values of 20 and 40. But I can understand why this is concerning, I think it might just be a limitation of the way this data has to be displayed.

Could you try something? On that same chart, could you hover over a date such as Dec 3rd, where the rolling average (blue line) dips below the average (red line)? I am curious to see what values actually appear there. I believe that value will be below 14d, but I am interested to learn if it is also below the 5d 8h average there. If it is, I think this would help confirm my thoughts that the location of that line/plot point is being skewed due to the cube-root scale is affecting this chart.